Were seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems-from prototyping to reliable, secure, production deployment. The Head of AI will manage a group of deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Group Leadership & Growth:
Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery.
Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture.
Technical Strategy & Delivery:
Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety).
Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization.
Research Integration & Innovation:
Stay current with the literature; run journal clubs and technical deep dives.
Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems.
Cross‑Functional Collaboration:
Translate biological and clinical questions into tractable AI projects with measurable impact.
Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions.
Mission & Impact:
Prioritize initiatives that advance patient outcomes and create cumulative platform value.
Balance speed with scientific integrity, security, and compliance.
Requirements: Required qualifications:
People Leadership - 10+ years managing and developing technical teams (mix of deep learning researchers, data scientists, and ML engineers).
Engineering & AI Depth - Proven record architecting, building, and deploying large‑scale AI systems; strong software engineering foundations (Python, distributed systems, cloud, data platforms, MLOps).
Research Fluency - Up‑to‑date on modern AI; advantage for hands‑on work with transformers and reasoning/agent systems, or demonstrated ability to quickly partner with computational teams to connect the dots and make sound architectural choices.
Communication - Excellent written and verbal communication; able to align diverse stakeholders and influence at executive level, able to represent companys AI vision externally.
Mission Orientation - Driven to improve patient outcomes; execution‑focused and committed to building durable value.
Collaboration & Low Ego - Highly cooperative, credits the team, and optimizes for collective success.
Preferred Qualifications:
Strong advantage: Background in molecular biology/biomed, or success applying AI in complex, data‑rich, or regulated domains (e.g., computational biology, bioinformatics, immunology, healthcare).
Track record bridging research and product (publications, patents, or deployed systems with measurable impact).
Desired personal traits::
You want to make an impact on humankind
You prioritize We over I
You enjoy getting things done and striving for excellence
You collaborate effectively with people of diverse backgrounds and cultures
You have a growth mindset
You are candid, authentic, and transparent.
This position is open to all candidates.